The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-01"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "10694060 (up from 10475838 yesterday: 2.08 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "516210 (up from 511253 yesterday: 0.97 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.83



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2686258 50841 1.93 128062 645 0.51 4.77
Brazil 1448753 46712 3.33 60632 1038 1.74 4.19
Russia 653479 6550 1.01 9521 215 2.31 1.46
India 604641 19148 3.27 17834 434 2.49 2.95
United Kingdom 314992 832 0.26 43991 176 0.40 13.97
Peru 288477 3264 1.14 9860 183 1.89 3.42
Chile 282043 2650 0.95 5753 65 1.14 2.04
Spain 249659 388 0.16 28364 9 0.03 11.36
Italy 240760 182 0.08 34788 21 0.06 14.45
Mexico 231770 5681 2.51 28510 741 2.67 12.30
Iran 230211 2549 1.12 10958 141 1.30 4.76
Pakistan 217809 4339 2.03 4473 78 1.77 2.05
France 202981 918 0.45 29864 18 0.06 14.71
Turkey 201098 1192 0.60 5150 19 0.37 2.56
Germany 195893 475 0.24 8995 5 0.06 4.59
Saudi Arabia 194225 3402 1.78 1698 49 2.97 0.87
South Africa 159333 8124 5.37 2749 92 3.46 1.73
Bangladesh 149258 3775 2.59 1888 41 2.22 1.26
Canada 106288 191 0.18 8678 28 0.32 8.16
Colombia 98090 2821 2.96 3488 112 3.32 3.56
Qatar 97003 915 0.95 115 2 1.77 0.12
China 84816 31 0.04 4641 0 0.00 5.47
Egypt 69814 1503 2.20 3034 81 2.74 4.35
Sweden 69692 1241 1.81 5370 37 0.69 7.71
Argentina 67197 2667 4.13 1351 44 3.37 2.01
Belarus 62424 306 0.49 398 6 1.53 0.64
Belgium 61509 82 0.13 9754 7 0.07 15.86
Ecuador 58257 1825 3.23 4576 49 1.08 7.85
Indonesia 57770 1385 2.46 2934 58 2.02 5.08
Iraq 51524 2415 4.92 2050 107 5.51 3.98
Netherlands 50483 0 0.00 6132 0 0.00 12.15
United Arab Emirates 49069 402 0.83 316 1 0.32 0.64
Kuwait 46940 745 1.61 358 4 1.13 0.76
Ukraine 45924 670 1.48 1188 15 1.28 2.59
Singapore 44122 215 0.49 26 0 0.00 0.06
Kazakhstan 42574 20266 90.85 188 0 0.00 0.44
Portugal 42454 313 0.74 1579 3 0.19 3.72
Oman 41194 1124 2.81 185 9 5.11 0.45
Philippines 38511 997 2.66 1270 4 0.32 3.30
Poland 34775 382 1.11 1477 14 0.96 4.25
Panama 34463 913 2.72 645 14 2.22 1.87
Bolivia 34227 1008 3.03 1201 78 6.95 3.51
Dominican Republic 33387 819 2.51 754 7 0.94 2.26
Switzerland 31851 137 0.43 1965 2 0.10 6.17
Afghanistan 31836 319 1.01 774 28 3.75 2.43
Bahrain 27414 656 2.45 92 5 5.75 0.34
Romania 27296 326 1.21 1667 16 0.97 6.11
Nigeria 26484 790 3.07 603 13 2.20 2.28
Israel 26257 1013 4.01 322 2 0.62 1.23
Armenia 26065 523 2.05 453 10 2.26 1.74
Ireland 25477 4 0.02 1738 2 0.12 6.82
Honduras 20262 704 3.60 542 45 9.05 2.67
Guatemala 19011 915 5.06 817 44 5.69 4.30
Japan 18838 223 1.20 976 4 0.41 5.18
Ghana 18134 393 2.22 117 5 4.46 0.65
Azerbaijan 18112 588 3.36 220 7 3.29 1.21
Austria 17873 107 0.60 705 0 0.00 3.94
Moldova 16898 285 1.72 549 4 0.73 3.25
Serbia 14836 272 1.87 281 4 1.44 1.89
Algeria 14272 365 2.62 920 8 0.88 6.45
Nepal 14046 482 3.55 30 1 3.45 0.21
Denmark 12994 26 0.20 606 1 0.17 4.66
Korea, South 12904 54 0.42 282 0 0.00 2.19
Morocco 12636 103 0.82 228 0 0.00 1.80
Cameroon 12592 0 0.00 313 0 0.00 2.49
Czechia 12046 92 0.77 349 0 0.00 2.90
Cote d’Ivoire 9702 203 2.14 68 0 0.00 0.70
Sudan 9573 316 3.41 602 30 5.24 6.29
Norway 8896 17 0.19 251 1 0.40 2.82
Uzbekistan 8781 278 3.27 26 0 0.00 0.30
Malaysia 8640 1 0.01 121 0 0.00 1.40
Australia 8001 81 1.02 104 0 0.00 1.30
Finland 7236 22 0.30 328 0 0.00 4.53
Congo (Kinshasa) 7122 83 1.18 175 5 2.94 2.46
Senegal 6925 132 1.94 116 4 3.57 1.68
El Salvador 6736 298 4.63 182 8 4.60 2.70
Kenya 6673 307 4.82 149 1 0.68 2.23
North Macedonia 6454 120 1.89 306 4 1.32 4.74
Kyrgyzstan 6261 755 13.71 66 5 8.20 1.05
Venezuela 6062 230 3.94 54 3 5.88 0.89
Haiti 6040 65 1.09 107 2 1.90 1.77
Tajikistan 6005 105 1.78 52 0 0.00 0.87
Ethiopia 5846 0 0.00 103 0 0.00 1.76
Gabon 5513 119 2.21 42 0 0.00 0.76
Guinea 5404 13 0.24 33 0 0.00 0.61
Bulgaria 5154 165 3.31 232 2 0.87 4.50

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 394079 625 0.16 32043 11 0.03 8.13 20257.42 1647.15 1 in 49
California 238681 7449 3.22 6169 87 1.43 2.58 6040.69 156.13 1 in 166
Texas 172368 9308 5.71 2503 48 1.96 1.45 5944.57 86.32 1 in 168
New Jersey 171928 261 0.15 15078 43 0.29 8.77 19356.49 1697.55 1 in 52
Florida 158997 6563 4.31 3550 45 1.28 2.23 7402.87 165.29 1 in 135
Illinois 144013 828 0.58 6951 28 0.40 4.83 11364.82 548.54 1 in 88
Massachusetts 108882 0 0.00 8053 0 0.00 7.40 15667.60 1158.79 1 in 64
Pennsylvania 91775 636 0.70 6684 35 0.53 7.28 7168.81 522.11 1 in 139
Georgia 84242 2951 3.63 2827 22 0.78 3.36 7934.32 266.26 1 in 126
Arizona 84105 4877 6.16 1725 80 4.86 2.05 11044.80 226.53 1 in 91
Michigan 71089 361 0.51 6198 5 0.08 8.72 7118.26 620.62 1 in 140
Maryland 67918 359 0.53 3205 15 0.47 4.72 11234.14 530.13 1 in 89
North Carolina 66751 1424 2.18 1398 18 1.30 2.09 6364.46 133.29 1 in 157
Virginia 63203 416 0.66 1786 23 1.30 2.83 7404.70 209.24 1 in 135
Louisiana 60178 2083 3.59 3238 17 0.53 5.38 12944.86 696.52 1 in 77
Ohio 52865 1076 2.08 2876 13 0.45 5.44 4522.59 246.04 1 in 221
Connecticut 46572 58 0.12 4324 2 0.05 9.28 13062.62 1212.81 1 in 77
Indiana 45952 358 0.79 2650 10 0.38 5.77 6825.68 393.63 1 in 147
Tennessee 45315 1806 4.15 609 5 0.83 1.34 6631.62 89.12 1 in 151
Alabama 38962 917 2.41 972 22 2.32 2.49 7946.26 198.24 1 in 126
South Carolina 37919 1520 4.18 766 27 3.65 2.02 7364.75 148.78 1 in 136
Minnesota 36716 413 1.14 1482 6 0.41 4.04 6510.35 262.78 1 in 154
Washington 33435 611 1.86 1339 7 0.53 4.00 4390.74 175.84 1 in 228
Colorado 33012 314 0.96 1697 7 0.41 5.14 5732.51 294.68 1 in 174
Iowa 29514 440 1.51 717 1 0.14 2.43 9354.47 227.25 1 in 107
Wisconsin 29199 540 1.88 786 2 0.26 2.69 5014.91 135.00 1 in 199
Mississippi 27900 653 2.40 1082 9 0.84 3.88 9374.53 363.56 1 in 107
Utah 22716 499 2.25 173 1 0.58 0.76 7085.56 53.96 1 in 141
Arkansas 21197 420 2.02 277 7 2.59 1.31 7023.93 91.79 1 in 142
Missouri 21035 34 0.16 1018 13 1.29 4.84 3427.33 165.87 1 in 292
Nebraska 19310 133 0.69 276 2 0.73 1.43 9982.38 142.68 1 in 100
Nevada 19101 645 3.49 511 4 0.79 2.68 6201.31 165.90 1 in 161
Rhode Island 16853 40 0.24 956 6 0.63 5.67 15908.65 902.43 1 in 63
Kentucky 15842 218 1.40 572 7 1.24 3.61 3545.92 128.03 1 in 282
Kansas 14830 460 3.20 277 4 1.47 1.87 5090.42 95.08 1 in 196
Oklahoma 14119 362 2.63 389 2 0.52 2.76 3568.13 98.31 1 in 280
New Mexico 12276 129 1.06 500 3 0.60 4.07 5854.55 238.46 1 in 171
Delaware 11510 36 0.31 509 0 0.00 4.42 11820.11 522.71 1 in 85
District of Columbia 10365 38 0.37 553 2 0.36 5.34 14686.52 783.56 1 in 68
Oregon 8931 275 3.18 208 1 0.48 2.33 2117.49 49.32 1 in 472
Puerto Rico 7537 72 0.96 153 0 0.00 2.03 2359.96 47.91 1 in 424
South Dakota 6826 62 0.92 93 2 2.20 1.36 7715.97 105.13 1 in 130
Idaho 6370 253 4.14 92 0 0.00 1.44 3554.56 51.34 1 in 281
New Hampshire 5802 20 0.35 373 2 0.54 6.43 4267.08 274.32 1 in 234
North Dakota 3615 39 1.09 80 1 1.27 2.21 4743.71 104.98 1 in 211
Maine 3294 41 1.26 105 0 0.00 3.19 2450.51 78.11 1 in 408
West Virginia 2979 74 2.55 93 0 0.00 3.12 1666.90 52.04 1 in 600
Wyoming 1514 27 1.82 20 0 0.00 1.32 2615.94 34.56 1 in 382
Vermont 1210 2 0.17 56 0 0.00 4.63 1939.14 89.75 1 in 516
Montana 1016 49 5.07 22 0 0.00 2.17 950.62 20.58 1 in 1052
Alaska 975 38 4.06 14 0 0.00 1.44 1332.80 19.14 1 in 750
Hawaii 926 9 0.98 18 0 0.00 1.94 654.01 12.71 1 in 1529

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3971648 394079 9.92 204160.46
California 4254176 238681 5.61 107667.34
Texas 1921948 172368 8.97 66283.48
New Jersey 1442937 171928 11.92 162452.84
Florida 1980354 158997 8.03 92204.97
Illinois 1637108 144013 8.80 129192.80
Massachusetts 858435 108882 12.68 123524.66
Pennsylvania 776804 91775 11.81 60678.38
Georgia 855038 84242 9.85 80531.59
Arizona 549596 84105 15.30 72173.83
Michigan 1061859 71089 6.69 106325.64
Maryland 542604 67918 12.52 89750.70
North Carolina 942238 66751 7.08 89838.91
Virginia 658633 63203 9.60 77163.79
Louisiana 752088 60178 8.00 161781.31
Ohio 792005 52865 6.67 67755.86
Connecticut 477841 46572 9.75 134025.96
Indiana 489716 45952 9.38 72742.14
Tennessee 817886 45315 5.54 119693.43
Alabama 413953 38962 9.41 84425.33
South Carolina 389872 37919 9.73 75722.21
Minnesota 617107 36716 5.95 109423.27
Washington 557275 33435 6.00 73182.25
Colorado 327503 33012 10.08 56870.64
Iowa 309790 29514 9.53 98188.00
Wisconsin 583832 29199 5.00 100272.84
Mississippi 293752 27900 9.50 98702.05
Utah 343358 22716 6.62 107099.97
Arkansas 314858 21197 6.73 104332.76
Missouri 389740 21035 5.40 63502.17
Nebraska 180608 19310 10.69 93366.03
Nevada 284096 19101 6.72 92234.29
Rhode Island 244215 16853 6.90 230530.48
Kentucky 377090 15842 4.20 84404.12
Kansas 183173 14830 8.10 62874.44
Oklahoma 346313 14119 4.08 87519.72
New Mexico 344181 12276 3.57 164143.57
Delaware 111384 11510 10.33 114385.00
District of Columbia 100035 10365 10.36 141743.03
Oregon 243360 8931 3.67 57699.19
Puerto Rico 7537 7537 100.00 2359.96
South Dakota 80943 6826 8.43 91496.27
Idaho 91040 6370 7.00 50801.73
New Hampshire 119169 5802 4.87 87642.89
North Dakota 107226 3615 3.37 140705.09
Maine 97241 3294 3.39 72340.52
West Virginia 173352 2979 1.72 96999.30
Wyoming 33699 1514 4.49 58226.31
Vermont 66292 1210 1.83 106239.05
Montana 93330 1016 1.09 87324.03
Alaska 114400 975 0.85 156381.36
Hawaii 79058 926 1.17 55836.97

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 174761 0 0 90911 52.02 75979 7855 0 0 4.49
Tamil Nadu 90167 0 0 50074 55.53 38892 1201 0 0 1.33
Delhi 87360 0 0 58348 66.79 26270 2742 0 0 3.14
Gujarat 32643 0 0 23670 72.51 7125 1848 0 0 5.66
Uttar Pradesh 23492 0 0 16084 68.47 6711 697 0 0 2.97
West Bengal 18559 0 0 12130 65.36 5761 668 0 0 3.60
Rajasthan 18008 0 0 14220 78.96 3375 413 0 0 2.29
Telangana 16339 0 0 7294 44.64 8785 260 0 0 1.59
Karnataka 15242 0 0 7920 51.96 7072 246 0 0 1.61
Andhra Pradesh 14595 0 0 6511 44.61 7897 187 0 0 1.28
Haryana 14548 0 0 9972 68.55 4340 236 0 0 1.62
Madhya Pradesh 13593 0 0 10395 76.47 2626 572 0 0 4.21
Bihar 9988 0 0 7544 75.53 2376 68 0 0 0.68
Assam 8408 0 0 5648 67.17 2745 12 0 0 0.14
Jammu and Kashmir 7497 0 0 4722 62.99 2674 101 0 0 1.35
Odisha 7065 0 0 5189 73.45 1844 32 0 0 0.45
State Unassigned 7004 0 0 0 0.00 7004 0 0 NaN 0.00
Punjab 5568 0 0 3867 69.45 1557 144 0 0 2.59
Kerala 4443 0 0 2304 51.86 2112 25 0 0 0.56
Uttarakhand 2881 0 0 2231 77.44 582 41 0 0 1.42
Chhattisgarh 2858 0 0 2250 78.73 595 13 0 0 0.45
Jharkhand 2490 0 0 1884 75.66 591 15 0 0 0.60
Tripura 1393 0 0 1092 78.39 300 1 0 0 0.07
Goa 1315 0 0 596 45.32 716 3 0 0 0.23
Manipur 1234 0 0 553 44.81 681 0 0 NaN 0.00
Ladakh 973 0 0 648 66.60 324 1 0 0 0.10
Himachal Pradesh 953 0 0 575 60.34 356 9 0 0 0.94
Puducherry 714 0 0 272 38.10 430 12 0 0 1.68
Nagaland 459 0 0 168 36.60 291 0 0 NaN 0.00
Chandigarh 440 0 0 364 82.73 70 6 0 0 1.36
Dadra and Nagar Haveli and Daman and Diu 213 0 0 82 38.50 130 0 0 NaN 0.00
Arunachal Pradesh 191 0 0 62 32.46 128 1 0 0 0.52
Mizoram 160 0 0 122 76.25 38 0 0 NaN 0.00
Andaman and Nicobar Islands 97 0 0 45 46.39 52 0 0 NaN 0.00
Sikkim 88 0 0 50 56.82 38 0 0 NaN 0.00
Meghalaya 53 0 0 42 79.25 10 1 0 0 1.89
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1044975 94010 109 0.12 9.00 277 41 9938 16650 17.71
Piemonte 419291 31365 16 0.05 7.48 260 11 1353 4091 13.04
Emilia-Romagna 499426 28508 16 0.06 5.71 104 10 1002 4264 14.96
Veneto 970793 19289 3 0.02 1.99 17 0 418 2022 10.48
Toscana 341165 10254 4 0.04 3.01 13 5 323 1106 10.79
Liguria 148585 9982 5 0.05 6.72 42 3 280 1558 15.61
Lazio 341083 8119 9 0.11 2.38 190 12 832 839 10.33
Marche 138550 6786 5 0.07 4.90 8 0 248 987 14.54
P.A. Trento 122574 4864 1 0.02 3.97 1 0 47 405 8.33
Campania 285388 4699 9 0.19 1.65 16 0 189 432 9.19
Puglia 180664 4530 0 0.00 2.51 24 0 112 545 12.03
Friuli Venezia Giulia 192106 3312 4 0.12 1.72 6 0 56 345 10.42
Abruzzo 106350 3289 2 0.06 3.09 32 0 170 464 14.11
Sicilia 211496 3081 1 0.03 1.46 18 3 126 282 9.15
P.A. Bolzano 84846 2642 3 0.11 3.11 3 1 84 292 11.05
Umbria 96602 1441 0 0.00 1.49 3 1 10 80 5.55
Sardegna 84569 1366 0 0.00 1.62 5 0 11 133 9.74
Valle d’Aosta 18414 1195 0 0.00 6.49 2 0 3 146 12.22
Calabria 95926 1181 0 0.00 1.23 4 0 26 97 8.21
Molise 22886 445 0 0.00 1.94 0 0 25 23 5.17
Basilicata 39787 402 0 0.00 1.01 0 0 2 27 6.72

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 55524 66 0.12 5527 24 0.44 9.95 6503.41 647.37 1 in 154
Ontario 37085 124 0.34 2734 4 0.15 7.37 2520.76 185.84 1 in 397
Alberta 8108 0 0.00 154 0 0.00 1.90 1837.24 34.90 1 in 544
British Columbia 2916 0 0.00 174 0 0.00 5.97 570.54 34.04 1 in 1753
Nova Scotia 1063 1 0.09 63 0 0.00 5.93 1087.52 64.45 1 in 920
Saskatchewan 785 0 0.00 13 0 0.00 1.66 664.32 11.00 1 in 1505
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1642 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1233 7 0.57
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 923 9 0.98
Shandong 792 7 0.88
Shanghai 713 7 0.98
Jiangsu 654 0 0.00
Sichuan 595 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 320 3 0.94
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 198 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Gansu 164 2 1.22
Jilin 155 2 1.29
Liaoning 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 8209.83 391.39 1 in 122
Brazil 6921.90 289.69 1 in 144
Russia 4522.35 65.89 1 in 221
India 451.56 13.32 1 in 2215
United Kingdom 4741.00 662.12 1 in 211
Peru 8967.27 306.50 1 in 112
Chile 15625.65 318.73 1 in 64
Spain 5350.60 607.89 1 in 187
Italy 3980.82 575.20 1 in 251
Mexico 1793.89 220.67 1 in 557
Iran 2836.51 135.02 1 in 353
Pakistan 1105.63 22.71 1 in 904
France 3030.02 445.80 1 in 330
Turkey 2488.53 63.73 1 in 402
Germany 2366.14 108.65 1 in 423
Saudi Arabia 5896.33 51.55 1 in 170
South Africa 2809.11 48.47 1 in 356
Bangladesh NA NA 1 in NA
Canada 2827.56 230.86 1 in 354
Colombia 1998.98 71.08 1 in 500

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 215475 23104 10.72
Los Angeles California 105665 3405 3.22
Cook Illinois 90911 4581 5.04
Maricopa Arizona 52266 817 1.56
Nassau New York 41853 2183 5.22
Suffolk New York 41427 1981 4.78
Miami-Dade Florida 37961 1000 2.63
Westchester New York 34866 1425 4.09
Harris Texas 32859 384 1.17
Philadelphia Pennsylvania 26257 1611 6.14
Middlesex Massachusetts 23962 1851 7.72
Wayne Michigan 22855 2722 11.91
Dallas Texas 21882 380 1.74
Suffolk Massachusetts 19819 1002 5.06
Bergen New Jersey 19445 1996 10.26
Hudson New Jersey 18842 1457 7.73
Essex New Jersey 18771 2024 10.78
Prince George’s Maryland 18645 686 3.68
Riverside California 18041 463 2.57
Passaic New Jersey 16894 1187 7.03
Middlesex New Jersey 16825 1324 7.87
Fairfield Connecticut 16717 1376 8.23
Union New Jersey 16384 1329 8.11
Broward Florida 16155 385 2.38
Essex Massachusetts 16088 1104 6.86
Clark Nevada 15604 420 2.69
Montgomery Maryland 14803 739 4.99
San Diego California 14623 370 2.53
Palm Beach Florida 14447 512 3.54
Orange California 14413 345 2.39
Fairfax Virginia 13864 488 3.52
Rockland New York 13602 668 4.91
Tarrant Texas 12950 231 1.78
Providence Rhode Island 12937 0 0.00
San Bernardino California 12746 258 2.02
Bexar Texas 12504 111 0.89
New Haven Connecticut 12368 1073 8.68
Worcester Massachusetts 12350 920 7.45
Oakland Michigan 12051 1091 9.05
Hennepin Minnesota 11892 776 6.53
Hartford Connecticut 11691 1373 11.74
Mecklenburg North Carolina 11534 150 1.30
Milwaukee Wisconsin 11510 390 3.39
Hillsborough Florida 11465 140 1.22
Salt Lake Utah 11437 108 0.94
Marion Indiana 11387 679 5.96
Orange Florida 10874 58 0.53
Orange New York 10730 478 4.45
District of Columbia District of Columbia 10365 553 5.34
Shelby Tennessee 10344 193 1.87

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc